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Cited by 339

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Breaking barriers and creating inclusiveness: Lessons of organizational transformation to advance women faculty in academic science and engineering

Bilimoria, Diana, Joy, Simy, Liang, Xiangfen·2008·Human Resource Management

Abstract

To increase the representation and participation of women and other minorities in organizations, workplaces must become more inclusive. For such change to be successful and sustainable, organizations must systematically break down the barriers constraining women's participation and effectiveness; improve their prevailing structures, policies, and practices; and engender transformation in their climates. This article presents the experience of 19 U.S. universities, funded by the National Science Foundation's ADVANCE Institutional Transformation program, that have embraced comprehensive transformation for improved gender representation and inclusion in science and engineering disciplines. It describes the facilitating factors, program initiatives, institutionalization, and outcomes of their transformation, and suggests a transformation model that all organizations can use to create an inclusive and productive workplace for a diverse workforce. © 2008 Wiley Periodicals, Inc.

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Metadata

Authors
Bilimoria, D., Joy, S., & Liang, X.
Venue
Human Resource Management
Publisher
Wiley
Published
2008-08-19
Volume
47
Issue
3
Pages
423-441
ISSN
  • 0090-4848 (ISSN-L)
  • 1099-050X
OpenAlex
W2169616320
Cited by
339
References
58
FWCI
19.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Breaking barriers and creating inclusiveness: Lessons of organizational transformation to advance women faculty in academic science and engineering. https://app.cochat.ai/papers/10.1002/hrm.20225
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Bilimoria, D., Joy, S., & Liang, X. (2008). Breaking barriers and creating inclusiveness: Lessons of organizational transformation to advance women faculty in academic science and engineering. Human Resource Management. https://doi.org/10.1002/hrm.20225

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.